Data Scientist

Greetings from TCS!

Job Title: Data Scientist

Required Skillset: 10+ Years, including the experience in designing and building of analytics use cases and productionization of the model for a quantified business value, for a minimum of 5 engagements

Location: PAN INDIA

Experience Range: 10+ years

Must-Have**

• A candidate for this position must have at least 10 years of working experience working with data science capacity within a fast-paced and complex business setting, preferably working as a Senior Data Scientist.
• The candidate will also have experience working with natural language processing as well as experience working with machine learning libraries, for example, xgboost, OpenCV, sklearn, among others.
• Experience working on strategy or full-life cycle data science as well as technical expertise in AI, strategic vision, and hands-on experience with generative AI and large language models (LLMs).
• Expertise in generative models, deep learning, and data analysis will be critical in creating intelligent and transformative AI applications.
• Experience in designing, development, and implementing MLOps pipelines for the continuous deployment and integration of machine learning models.
• Experience working with deep learning algorithms and large datasets as well as experience working with unstructured data and experience cleaning and manipulating data.
• The Senior Data Scientist will also play an analytical role researching, designing, implementing, and deploying full-stack scalable data analytics vision and machine learning solutions to challenge various business issues.
• Experience in nurturing new opportunities and presales activities

Responsibility of / Expectations from the Role:

• Should have proven thought leadership in solving complex AI/ Data Science problems and consult with stakeholders to initiate projects aligned to business needs
• Work with business and customer stakeholders (both internal and external) to define product objectives and requirements applying data science principles to products and solutions across business units
• Liaise with data engineers on building end to end solutions (data mining, data cleansing and data preparation activities) as part of end-to-end data lifecycle
• Evangelize AI/ML works done by the team internally and externally
• Interact with industry experts to understand and incorporate latest technology innovation, best practices in data sciences, data mining, and software development.
• Must have effective communication and interpersonal skills, with proven ability to take initiative and build strong, productive relationships.

Thanks & Regards,

Ria Aarthi A.